IDEAS home Printed from https://ideas.repec.org/a/igg/jirr00/v6y2016i1p36-51.html
   My bibliography  Save this article

Events Automatic Extraction from Arabic Texts

Author

Listed:
  • Emna Hkiri

    (Faculty of Sciences, University of Monastir, Monastir, Tunisia)

  • Souheyl Mallat

    (Faculty of Sciences, University of Monastir, Monastir, Tunisia)

  • Mounir Zrigui

    (Faculty of Sciences, University of Monastir, Monastir, Tunisia)

Abstract

The event extraction task consists in determining and classifying events within an open-domain text. It is very new for the Arabic language, whereas it attained its maturity for some languages such as English and French. Events extraction was also proved to help Natural Language Processing tasks such as Information Retrieval and Question Answering, text mining, machine translation etc… to obtain a higher performance. In this article, we present an ongoing effort to build a system for event extraction from Arabic texts using Gate platform and other tools.

Suggested Citation

  • Emna Hkiri & Souheyl Mallat & Mounir Zrigui, 2016. "Events Automatic Extraction from Arabic Texts," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 6(1), pages 36-51, January.
    • Handle: RePEc:igg:jirr00:v:6:y:2016:i:1:p:36-51
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJIRR.2016010103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jirr00:v:6:y:2016:i:1:p:36-51. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.